智能农业传感器节点和传感器的开发

IF 2.9 Q2 ELECTROCHEMISTRY Journal of Electrochemical Science and Engineering Pub Date : 2023-07-12 DOI:10.5599/jese.1645
Moritz Schlagmann, J. Balendonck, Thomas Otto, Michelle Brandao Silva de Assis, M. Mertig, Stefan Hess
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引用次数: 0

摘要

世界人口在持续增长。智能农业需要以可持续的方式生产更多的食物来跟上这一发展。在许多新的传感器解决方案开发中,传感器本身的结果是目标,但整个解决方案无法满足农业传感用例的要求:开发受到单一方法的影响,仅局限于传感器,这可能是可交换的。在本文中,我们提出了一种可以帮助克服这些挑战的整体方法。这种方法考虑了整个用例,从感知、计算和连接到电源。以PLANtAR项目为例,对该方法进行了讨论,在PLANtAR项目中,我们开发了一种用于温室的土壤硝酸盐传感器和一种新的叶片湿度和小气候传感器。产生的传感器被集成到传感器节点中,并与最先进的系统进行比较。这项工作显示了评估基于园艺应用的农业用例的最佳权衡所需要的东西。
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Development of sensor nodes and sensors for smart farming
The world population is continuously increasing. Smart farming is required to keep up with this development by producing more food in a sustainable way. In many new sensor solution developments, the results of the sensor itself is at the target, but the whole solution fails to meet the requirements of the agriculture sensing use cases: the developments suffer from singular approaches with a constricted view solely on the sensor, which might be exchangeable. In this article, we present a holistic approach that can help to overcome these challenges. This approach considers the whole use case, from sense, compute, and connect to power. The approach is discussed with the example of the PLANtAR project, where we develop a soil nitrate sensor and a new leaf wetness and microclimate sensor for application in a greenhouse. The resulting sensor is integrated into a sensor node and compared to a state-of-the-art system. The work shows what is needed to assess the best tradeoffs for agriculture use cases based on a horticulture application.
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来源期刊
CiteScore
3.60
自引率
27.30%
发文量
90
审稿时长
6 weeks
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